Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
Fuente:
Zenodo
Guardado en:
| Autor principal: | Muhammad, Akhyar |
|---|---|
| Formato: | Recurso digital |
| Publicado: |
Zenodo
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026)
por: Muhammad, Akhyar
Publicado: (2026)
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026)
por: Muhammad, Akhyar
Publicado: (2026)
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026)
por: Muhammad, Akhyar
Publicado: (2026)
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026)
por: Muhammad, Akhyar
Publicado: (2026)
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026)
por: Muhammad, Akhyar
Publicado: (2026)
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026)
por: Muhammad, Akhyar
Publicado: (2026)
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026)
por: Muhammad, Akhyar
Publicado: (2026)
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026)
por: Muhammad, Akhyar
Publicado: (2026)
@akhyar11/ml-v1: A Native TypeScript Machine Learning Library
por: Muhammad, Akhyar
Publicado: (2026)
por: Muhammad, Akhyar
Publicado: (2026)
Dataset for "Robust Deep Learning-Based Downscaling of Mean and Extreme Precipitation over the Indian Subcontinent"
por: Murukesh, Midhun
Publicado: (2026)
por: Murukesh, Midhun
Publicado: (2026)
COMPUTER VISION TECHNIQUES FOR TRAFFIC SIGN DETECTION IN ADAS APPLICATIONS
por: Taras Volodymyrovych, Kravchenko
Publicado: (2025)
por: Taras Volodymyrovych, Kravchenko
Publicado: (2025)
When the state of the art is ahead of the state of understanding: unintuitive properties of deep neural networks
por: Joan Serrà
Publicado: (2019)
por: Joan Serrà
Publicado: (2019)
Journal of Intelligent Systems
Publicado: (2020)
Publicado: (2020)
Artificial Neural Networks for Classification Tasks: A Systematic Literature Review
por: Eduardo Molina Menéndez
Publicado: (2024)
por: Eduardo Molina Menéndez
Publicado: (2024)
Coverage for Character Based Neural Machine Translation
por: M. Bashir Kazimi
Publicado: (2017)
por: M. Bashir Kazimi
Publicado: (2017)
Journal of AI
Publicado: (2025)
Publicado: (2025)
Motif-Upcycling: Structure-Preserving Adaptation of Transformer Models
por: Lirov, Kharki
Publicado: (2026)
por: Lirov, Kharki
Publicado: (2026)
Supplementary dataset for paper: "Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling"
por: Clement, Mihaela-Larisa, et al.
Publicado: (2026)
por: Clement, Mihaela-Larisa, et al.
Publicado: (2026)
An intelligent system for heart disease diagnosis using regularized deep neural network
por: P. Rani
Publicado: (2023)
por: P. Rani
Publicado: (2023)
Computational Models of Financial Price Prediction: A Survey of Neural Networks, Kernel Machines and Evolutionary Computation Approaches
por: Javier Sandoval
Publicado: (2011)
por: Javier Sandoval
Publicado: (2011)
Soliton-Inspired Machine Learning Architectures
por: Novickis, Alexander
Publicado: (2026)
por: Novickis, Alexander
Publicado: (2026)
Soliton-Inspired Machine Learning Architectures
por: Novickis, Alexander
Publicado: (2026)
por: Novickis, Alexander
Publicado: (2026)
Anaemia detection from conjunctiva images using deep learning
por: S Janardhan Jayanth, et al.
Publicado: (2025)
por: S Janardhan Jayanth, et al.
Publicado: (2025)
Jurnal Ilmu Komputer dan Informasi
Publicado: (2017)
Publicado: (2017)
Enhanced Image Security Using Classification in Adversarial Machine Learning with aes Based Grey wolf Algorithm
por: Jahan, Tasneem, et al.
Publicado: (2025)
por: Jahan, Tasneem, et al.
Publicado: (2025)
Tool Spec TypeScript template
por: Mälicke, Mirko
Publicado: (2026)
por: Mälicke, Mirko
Publicado: (2026)
A systematic review of machine learning-enhanced metaheuristics for solving capacitated vehicle routing problems
por: Mauricio Maca-Chagüendo
Publicado: (2024)
por: Mauricio Maca-Chagüendo
Publicado: (2024)
The Infinite Model
por: Hobe-Gelting, Victor, et al.
Publicado: (2026)
por: Hobe-Gelting, Victor, et al.
Publicado: (2026)
Neural Networks Based Domain Adaptation in Spectroscopic Sky Surveys
por: Podsztavek, Ondřej
Publicado: (2020)
por: Podsztavek, Ondřej
Publicado: (2020)
International Journal of Computational Intelligence Systems
Publicado: (2017)
Publicado: (2017)
Nowcasting Economic Activity with Electronic Payments Data: A Predictive Modeling Approach
por: Carlos León
Publicado: (2018)
por: Carlos León
Publicado: (2018)
Neural Networks and Political Science: Testing the Methodological Frontiers
por: Lukasz Wordliczek
Publicado: (2023)
por: Lukasz Wordliczek
Publicado: (2023)
MODELLING TOURISM DEMAND TO SPAIN WITH MACHINE LEARNING TECHNIQUES. THE IMPACT OF FORECAST HORIZON ON MODEL SELECTION
por: OSCAR CLAVERIA
Publicado: (2016)
por: OSCAR CLAVERIA
Publicado: (2016)
STACK TYPE DETECTION USING FEW-SHOT LEARNING
por: Lin, Henry
Publicado: (2022)
por: Lin, Henry
Publicado: (2022)
Self-Supervised Learning as Constrained Free-Energy Systems
por: Kemple, Kurtis
Publicado: (2026)
por: Kemple, Kurtis
Publicado: (2026)
Emergence Without Scale: Inductive Resonance and Invariant Dynamics in Tiny Recurrent Networks
por: Giebelhaus, M. Axel
Publicado: (2025)
por: Giebelhaus, M. Axel
Publicado: (2025)
Robust Sensor Fusion for Autonomous Navigation in Dynamically Changing Environments
por: Liam O'Connor
Publicado: (2026)
por: Liam O'Connor
Publicado: (2026)
A Proximal Gradient Framework for Optimization Under Uncertainty with Applications to Sparse Data Representation
por: Jordan Smith
Publicado: (2026)
por: Jordan Smith
Publicado: (2026)
Addressing Exploration Challenges in Sparse Reward Reinforcement Learning Environments via Intrinsic Curiosity Modules and Reward Shaping
por: Elena Rossi
Publicado: (2026)
por: Elena Rossi
Publicado: (2026)
Scalable and Efficient Distributed Training of Deep Learning Models via Hybrid Parallelism
por: Yuki Tanaka
Publicado: (2026)
por: Yuki Tanaka
Publicado: (2026)
Ejemplares similares
-
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026) -
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026) -
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026) -
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026) -
Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
por: Muhammad, Akhyar
Publicado: (2026)